Tasks:
- * Advise teams on GenAI projects
- * Build conversational applications
- * Conduct AI audits
- * Design LLM pipelines
- * Design RAG architectures
- * Develop AI agents
- * Develop LLMOps pipelines
- * Develop technical guidelines
- * Evaluate solution performance
- * Implement AI security and governance
- * Optimize LLM solutions
- * Orchestrate GenAI workflows
- * Scope LLM projects
- * Secure and deploy GenAI solutions to production
- * Select models
Perks/Benefits:
- + AI expert community
- + Azure Playground credits
- + Azure workshops and meetups
- + Certification costs covered
- + Gemini license
- + GitHub Copilot license
- + Innovative client projects
- + Knowledge sharing events
- + Microsoft 365 Copilot license
- + Udemy PRO access
Skills/Tech stack required:
[Agent Framework] [Agentic AI] [AI Governance] [AI Search] [AI Security] [Azure] [Azure AI] [Azure AI Search] [Azure OpenAI] [Cloud Architecture] [Conversational AI] [Generative AI] [Langchain] [Language Models (LLMs)] [Large Language Models] [Large Language Models (LLMs)] [LLMOps] [LLM orchestration] [Microsoft Agent] [Microsoft Agent Framework] [Microsoft Foundry] [Model Evaluation] [Python] [Retrieval-Augmented Generation] [Retrieval-Augmented Generation RAG] [Software Engineering] [Vector Stores]
Educational requirements:
N/A
Role(s):
[AI Engineer] [Engineer] [Generative AI Engineer]